Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules

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Documentation for package ‘optBiomarker’ version 1.0-28

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

optBiomarker-package	R package for estimating optimal number of biomarkers at a given error tolerance level for various classification rules
classificationError	Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods
classificationError.data.frame	Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods
classificationError.default	Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods
errorDbase	Database of leave-one-out cross validation errors for various combinations of data characteristics
optBiomarker	R package for estimating optimal number of biomarkers at a given error tolerance level for various classification rules
optimiseBiomarker	Estimates optimal number of biomarkers at a given error tolerance level for various classification rules
realBiomarker	A set of 54359 median gene expressions in log (base 2) scale
simData	Simulation of microarray data